UMCS-22: Bayesian ANOVA Results for Age Group Differences in French Sample

Bayes factor ANOVA results analyze age group-related differences in the French UMCS-22 dimensions. The dataset contains results from 1,148 participants across three age groups (16-24, 25-49, and 50-65). Authored by Marina Burakova and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Compare Bayesian and frequentist ANOVA results based on the reported Bayes factors.
• Investigate age-related patterns in psychological constructs measured by the UMCS-22 scale.
• Use as a reference or benchmark dataset for methodological studies in Bayesian hypothesis testing.

Strengths

• Sample size of 1,148 participants provides a substantial basis for analysis.
• Explicitly reports participant counts for three distinct age groups (N=194, 740, 214).
• Uses Bayes factor ANOVA, a modern statistical method for evidence quantification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 5.5 KB file size indicates a very limited scope, likely containing only summary statistics.

Provenance

Source

figshare

Freshness

Last updated 2026-05-28 17:37:01; freshness should be verified.

Geography

France